Google’s Gemini 3.0 Confirmed

Good morning. It’s Monday, October twentieth.

On this present day in tech history: In 1971the Stanford “Hand–Eye” project quietly produced one in all the primary systems to integrate vision, reasoning, and robotic manipulation. Its planner operated on symbolic scene descriptions parsed from noisy camera input. Many of the logs weren’t published until internal notes surfaced years later.

OpenAI wants $100B by 2028
Google’s Gemini 3.0 Confirmed
Meta AI goes smart and controlled with self-learning bots
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Today’s trending AI news stories

OpenAI wants $100B by 2028, but GPT-5 hype and deepfakes could trip it up

OpenAI is chasing a growth trajectory few in Silicon Valley have ever dared, going from $13 billion in 2025 to $100 billion by 2028–2029. Hitting that in three years would break records since Tesla and Meta did it in seven, and ChatGPT alone won’t get them there. The plan relies on ads, AI-driven commerce, and automatic knowledge work, with the chatbot projected to provide just half of 2028 revenue.

Hardware costs are a serious bottleneck. OpenAI plans to chop as much as 30 percent off its $35 billion accelerator spend through custom Broadcom chips. Analysts warn that bespoke silicon is dangerous, with massive upfront costs, complex design hurdles, and an actual likelihood the chips might be outdated before deployment. OpenAI’s high-stakes strategy is daring however the margin for error is razor thin.

The corporate’s science ambitions hit an early snag when GPT-5 was briefly hailed for cracking ten Erdős math problems, just for the claim to implode, revealing the model had just pulled existing solutions. DeepMind CEO Demis Hassabis called the stunt “embarrassing.” Researcher Sebastien Bubeck later clarified that GPT-5 situated published solutions, not recent results.

Weil claimed GPT-5 solved classic Erdős problems, however the claim quickly unraveled. | Image: Stefan Schubert

Despite the backlash, mathematician Terence Tao noted the model’s real value lies in accelerating literature review, not autonomous proof generation. Now, OpenAI’s “AI for Science” team is putting GPT-5 Pro to work for real. The model can tackle complex astrophysics problems and rediscover key symmetries in minutes, work that may normally take human researchers days.

Statement from OpenAI and King Estate, Inc.

The Estate of Martin Luther King, Jr., Inc. (King, Inc.) and OpenAI have worked together to handle how Dr. Martin Luther King Jr.’s likeness is represented in Sora generations. Some users generated disrespectful depictions of Dr.

— OpenAI Newsroom (@OpenAINewsroom)
2:05 AM • Oct 17, 2025

Sora 2 deepfakes sparked controversy when Martin Luther King Jr. videos drew criticism from his daughter, prompting the corporate to pause the feature and reinforce guardrails. The opt-in/opt-out system stays inconsistent, leaving Hollywood studios and talent agencies bracing for potential legal battles. Meanwhile, Sam Altman-backed Oklo is teaming with Europe’s newcleo on a possible $2 billion U.S. nuclear fuel project. Read more.

Google’s Gemini 3.0 Confirmed for Later This 12 months

Google’s AI Studio now has a unified Playground for Gemini, GenMedia with Veo 3.1, text-to-speech, and Live models, paired with a redesigned homepage that centralizes project management. Developers can track real-time usage and rate limits and save system instruction presets for reproducible outputs and scalable experimentation.

A single playground to spare you from context switching | Image: Google

Gemini models gain live Google Maps integration, allowing apps to drag structured data from over 250 million locations, including addresses, hours, photos, and rankings, while combining it with Google Seek for context-aware responses. Use cases range from travel itineraries to real estate recommendations and logistics planning.

Later this 12 months, Gemini 3.0 will debut as a completely multimodal agent handling voice, text, images, audio, and video, powered by Google Research, Google Brain, and DeepMind.

NotebookLM can be testing AI-driven Slides and Infographics tools using the Nano Banana model, including a brand new “Kawaii” style for daring, colourful visuals. Read more.

Meta AI goes smart and controlled with self-learning bots and photo edits

Within the U.S. and Canada, Facebook users can now opt in for AI-powered photo edits straight from their camera rolls. Images are uploaded to the cloud for evaluation but only used to generate suggestions, like collages, themed edits, and elegance tweaks, unless shared, mixing private user data with broader AI recognition trained on public posts.

In research, language agents now learn from their very own actions using Implicit World Modeling and Self-Reflection, predicting outcomes and explaining why expert decisions work best. Using the ‘Early Experience’ training method, tests across eight domains with models like Llama-3.1-8B and Qwen2.5-7B showed 9–18 point gains, scaled effectively to larger models, and improved reinforcement learning performance.

Left: “Implicit World Modeling” teaches agents to predict what happens after trying different actions. Right: “Self-reflection” generates explanations for why expert actions work higher than alternatives. | Image: Meta

Meta can be tightening safety and platform rules. Instagram will let parents block teen AI chats or monitor topics starting early next 12 months, while WhatsApp will ban general-purpose chatbots via its Business API in January 2026, leaving only Meta AI for business messaging and limiting unanticipated AI traffic. Read more.